{"id":"W2808288731","doi":"10.1007/s12079-018-0469-z","title":"Modelling glioma invasion using 3D bioprinting and scaffold-free 3D culture","year":2018,"lang":"en","type":"article","venue":"Journal of Cell Communication and Signaling","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; Canadian Cancer Society; Faculty of Medicine, University of British Columbia","keywords":"3D cell culture; Glioma; Scaffold; Organoid; Parenchyma; Spheroid; 3D bioprinting; Progenitor cell; Cell culture; Neural stem cell; Pathology; Human brain; Cancer cell; Biology; Neuroscience; Cancer research; Stem cell; Medicine; Cancer; Biomedical engineering; Cell biology; Tissue engineering; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002947039,0.0006508866,0.0004330105,0.0005245993,0.000252454,0.000925536,0.0006071033,0.001075323,0.0007188298],"category_scores_gemma":[0.0002821021,0.0004218738,0.0008446577,0.000397949,0.0004482808,0.0003098004,0.0005310757,0.0007995059,0.0004719909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007021403,"about_ca_system_score_gemma":0.0005814387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004822384,"about_ca_topic_score_gemma":0.00546404,"domain_scores_codex":[0.9996675,0.00002421956,0.0000242024,0.0000669691,0.0001649019,0.00005220197],"domain_scores_gemma":[0.9997284,0.0001052287,0.00005989317,0.0000420463,0.00003665291,0.00002761911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007097974,0.00007226767,0.0008431826,0.0004063672,0.00004103763,0.0007351891,0.0003061934,0.1160021,0.8729876,0.00188418,0.0003586786,0.006292209],"study_design_scores_gemma":[0.00002910287,0.0002478391,0.0031566,0.00005944413,0.00007111974,0.0006282331,0.0001165215,0.2656985,0.7167516,0.0007637285,0.01237203,0.0001053156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.723259,0.003100902,0.2580512,0.0002514803,0.0002006841,0.0003601127,0.00269183,0.001581404,0.01050337],"genre_scores_gemma":[0.8759125,0.002779617,0.1162973,0.00008033899,0.00001828781,0.000523191,0.001336681,0.0001524773,0.002899504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004822384,"threshold_uncertainty_score":0.009588599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04110836650758579,"score_gpt":0.2798493221039228,"score_spread":0.238740955596337,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}